Identify if resident parking is available
using AI
Below is a free classifier to identify if resident parking is available. Just upload your image, and our AI will predict if resident parking is available - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-resident-parking-is-available", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-resident-parking-is-available/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_image_url"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_image_url"}' \
https://www.nyckel.com/v1/functions/if-resident-parking-is-available/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if resident parking is available.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Resident Parking Available and Resident Parking Not Available.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if resident parking is available).
Whether you're just curious or building if resident parking is available detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if resident parking is available at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Parking Management System: This function can be integrated into a parking management system that allows city officials to monitor available resident parking spots in real-time. By using image classification, the system can automatically detect and indicate when parking spots are occupied or available, optimizing parking space allocation.
- Smart City Infrastructure: In smart cities, this function can help with the development of intelligent transportation systems. By analyzing images from street cameras, the system can provide real-time data to reduce traffic congestion by directing residents to available parking spots, improving overall urban mobility.
- Mobile Parking Apps: Developers of mobile parking applications can utilize this image classification feature to offer users accurate and reliable information regarding resident parking availability. This functionality enhances user experience by providing timely updates, reducing the time spent searching for available spots.
- Automated Parking Notifications: This function can be employed to send automated notifications to residents regarding parking availability. Residents could receive alerts through an app when spots become free, allowing them to plan their trips and reduce unnecessary driving time.
- Parking Enforcement Solutions: Law enforcement agencies can implement this image classification function to streamline parking enforcement. By automating the detection of available resident parking spots, officers can focus their efforts on enforcing regulations in areas where parking is illegal or restricted.
- Parking Analytics and Reporting: Businesses can leverage this technology to gather analytics on resident parking trends and utilization rates. By analyzing occupancy patterns, municipalities can make informed decisions regarding urban planning and parking policy adjustments.
- Integration with Navigation Systems: Automotive navigation systems can integrate this image classification function to guide drivers directly to available resident parking spaces. This real-time information can enhance user experience, providing a seamless journey from origin to destination while minimizing search time for parking.